Tag: data interpretation
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AlgorithmWatch: Large language models continue to be unreliable concerning elections
Source URL: https://algorithmwatch.org/en/llms_state_elections/ Source: AlgorithmWatch Title: Large language models continue to be unreliable concerning elections Feedly Summary: Large language models continue to be unreliable for election information. Our research was able to substantially improve the reliability of safeguards in the Microsoft Copilot chatbot against election misinformation in German. However barriers to data access greatly restricted…
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Hacker News: Structured Outputs with Ollama
Source URL: https://ollama.com/blog/structured-outputs Source: Hacker News Title: Structured Outputs with Ollama Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text elaborates on enhancements to the Ollama libraries that support structured outputs, allowing users to constrain model responses to predefined JSON formats. This innovation can improve the reliability and consistency of data extraction in…
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Hacker News: Unlocking the power of time-series data with multimodal models
Source URL: http://research.google/blog/unlocking-the-power-of-time-series-data-with-multimodal-models/ Source: Hacker News Title: Unlocking the power of time-series data with multimodal models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the application of robust machine learning methods for processing time series data, emphasizing the capabilities of multimodal foundation models like Gemini Pro. It highlights the importance of…
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Slashdot: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities
Source URL: https://apple.slashdot.org/story/24/10/15/1840242/apple-study-reveals-critical-flaws-in-ais-logical-reasoning-abilities?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple Study Reveals Critical Flaws in AI’s Logical Reasoning Abilities Feedly Summary: AI Summary and Description: Yes Summary: Apple’s AI research team identifies critical weaknesses in large language models’ reasoning capabilities, highlighting issues with logical consistency and performance variability due to question phrasing. This research underlines the potential reliability…